AI Officer Programme

• Leading the AI Transformation Revolution

• The Three Phases of AI Maturity

• Getting Started with AI

• Building Momentum Phase

• Embedding AI into Organizational DNA

• Seven Pillars for AI Success: Introduction

• Linking AI with Business Strategy

• Defining AI Objectives

• Scaling AI Adoption

• Data: AI's Foundation

• Driving AI Development

• Building AI Processes

• AI Talent and Teams

• The Seven Pillars: A Reflection

• AI Playbook and Maturity Framework: The Essentials

• Practical Application of the AI Playbook

• Tailoring the Playbook to AI Maturity Level

• The AI Maturity Assessment

• AI Transformation: Leveraging the Playbook Framework

• Challenges in AI-led Transformation

• Strategic Insights for AI Implementation

• The Evolution of Generative AI

• Generative AI in Action

• Overcoming Challenges in Generative AI

• The Transformative Future of Generative AI

• Generative AI: Driving Future Productivity

• NLP and Leadership Communication

• Transforming Customer Service with AI

• Human-AI Collaboration in Customer Service

• Mastering AI: The Art of Effective Prompting

• The PROMPTER Framework: Crafting AI Prompts for Precision

• Building Strong AI Prompts: Prequel, Requirements and Objective

• Personalizing AI Prompts: Me, Persona and Task

• Refining AI Outputs: Example and Reporting Format

• Tailoring LLMs with Prompt Engineering

• Retrieval-Augmented Generations (RAG): Keeping AI Knowledge Up To Date

• Maximizing AI Potential: Combining Prompt Engineering and RAG

• Fine-Tuning AI: Teaching Models to Think Like Experts

• Pre-Training AI: When to Build Model from Scratch

• Unlocking AI's Full Potential: Strategies for Effective Customization

• Classic AI vs GenAI in Marketing

• Customer Segmentation and Targeting with AI

• AI in Campaign Optimization

• AI in Marketing Analytics and Attribution

• AI in Pricing and Promotion Strategies

• AI-Driven Product Recommendations

• Summary: Classic AI's Role in Marketing

• GenAI in Content Creation

• GenAI for Personalization at Scale

• GenAI in Customer Interaction and Support

• GenAI in Market Research and Analytics

• GenAI in Multilingual and Localization Capabilities

• The Future of GenAI in Marketing

• AI for Finance and Risk Management: Introduction

• Enhancing Financial Planning and Analytics

• Optimizing Financial Operations

• Innovations in Treasury and Investments Management

• Modernizing Financial Control and Reporting

• Data-Driven Corporate Strategy

• Transforming Investor Relations

• Transforming Risk Management with AI

• Redefining Credit Risk Strategies

• Navigating Market Risk in Real-Time

• Proactive Strategies for Operational Risk

• Managing Compliance in a Complex World

• Strengthening Cybersecurity Resilience

• AI in Risk Management: Key Takeaways

• Revolutionizing Supply Chain Management

• Transforming Demand Forecasting with AI

• AI in Inventory Optimization

• AI-Powered Supply Chain Optimization

• AI-Driven Production Planning and Scheduling

• AI-Driven Risk Management and Resilience

• Generative AI in Supply Chain Documentation

• Generative AI in Supplier Communication

• Generative AI in Customer Communication

• Generative AI in Procurement

• Generative AI in Supply Chain Analytics

• AI in Manufacturing Supply Chains

• AI’s Role in Retail Supply Chains

• AI: The Lifeline of Healthcare Supply Chains

• AI in Automotive Supply Chains

• AI in Consumer Goods Supply Chains

• AI's Role in Electronics Supply Chains

• AI's Role in Transforming Supply Chains

• AI in Research and Design: Introduction

• AI in Design

• AI in Research

• Challenges and Limitations of AI in Design and Research

• The Future of AI in Design and Research

• Introduction to AI in HR, Legal, and Other Domains

• AI in HR

• AI in Legal

• AI in Other Specialised Domains

• Challenges and Considerations

• The Future of AI in HR, Legal, and Other Domains

• Introduction to AI-Driven Business Models

• Established AI-Driven Business Models

• Emerging and Future AI-Driven Business Models

• The Road Ahead for AI-Driven Business Models

• Introduction to Responsible AI

• AI Governance

• AI Ethics

• AI Compliance

• Responsible AI: Challenges and Opportunities

• Responsible AI Implementation

• Future of Responsible AI

• Responsible AI: Key Takeaways

• Future Trends in AI: Introduction

• Tracing AI’s Evolution: Past to Present

• Current and Emerging AI Capabilities

• Future Applications: Reimagining Industries Through AI

• Misuse of AI

• Geopolitical, Economic, and Societal Impact of AI

• Future Trends in AI: Conclusion

• Contextualise Your Learning

• Create A Strategic Roadmap

• Leverage The 7- Pillars Of AI Playbook

• Evaluate Your Organisation's AI Maturity

• Identify Key Areas Of Improvement

• Build An Actionable AI Strategy

• Articulate where and how gen AI and agentic AI enhance customer experience across touchpoints.

• Identify automation/AI use cases for internal marketing, sales, and customer support functions.

• Apply the jobs-to-be-done (JTBD) framework to map AI and gen AI tools to the key deliverables for marketing, sales, and customer service.

• Identify personal hesitations and limitations for using AI and machine learning tools for certain job functions.

• Design a personalized customer engagement strategy using gen AI tools.

• Analyze current use cases for AI-powered robotics and autonomous systems in improving efficiency.

• Create a conceptual hypothesis based on data sources within a case analysis​.

• Identify focus points to further analyze a case analysis utilizing data exploration​.

• Explore the role of key data variables in determining the predictability of failure within a case analysis.​

• Apply gen AI to the Enerwind case study​.

• Explore how gen AI is automating HR, finance, and IT functions, from drafting contracts to managing payroll.

• Identify HR functions that can be optimized by AI.

• Utilize the JTBD framework to identify the pain points and future needs of HR functions.

• Explore AI automation tools that can be used to optimize HR functions and pain points.

• Develop a memo addressed to the chief HR officer that summarizes your identified functions and AI recommendations.

• Discuss how gen AI is being applied across key industries, including healthcare, retail, and financial services.

• Discover how gen AI is reshaping product design, diagnostics, and personalized financial services.

• Develop a vertical-specific AI strategy for a chosen industry​.

• Explore the ethical considerations and IP challenges in AI-generated content.

• Analyze the examples showcasing how AI is revolutionizing creative industries by co-creating with humans in media & entertainment, fashion, and advertising.​

• Create a gen AI-powered product story for a brand.

• Recognize the principles and best practices for AI governance to ensure responsible use.

• Explore how organizations are moving toward zero-touch enterprise models. ​

• Apply AI CMM to an organization of your choice.​

• Understand the broader societal impact of AI, including labor markets, policy, and ethics.

• Explore how businesses can leverage AI for social good while addressing the challenges it brings.

• Discuss the future of work in an AI-powered world, including the role of human-AI collaboration.

• Create an AI strategy memo addressed to the CEO of your chosen organization using the program’s strategies and frameworks.

Understand how these institutions optimised financial operations and risk management with GenAI

Explore how these brands optimised inventory management and demand forecasting with AI

Learn how these brands use AI in product design and research

Deep dive into how these tools are revolutionising HRM, legal processes and other tasks across specialised domains

Examine how these healthcare organisations collaborated with non-profits to optimise scheduling in the radiology department

Explore how these brands use AI virtual assistants to understand customer questions, provide answers and help complete actions

Learn and apply the AI CMM to develop enterprise AI capabilities in a phased and systematic manner.

Learn the stages of the customer experience DNA framework:

• Customer action: Discover, learn, evaluate, buy, engage and advocate

• Organisation Action: Reach, acquire, convert, develop, retain and bond

Apply the seven-step approach to frame and communicate critical aspects of a GenAI initiative.

Understand the principles of responsible AI and how to govern AI projects to drive responsible and ethical outcomes.

IIM Kozhikode Certification Criteria: Participants must successfully complete all evaluation components by IIM Kozhikode with minimum pass marks and meet the requisite 75% minimum attendance criteria to obtain Certificate of Completion from IIM Kozhikode. Participants who are unable to clear the evaluation criteria but have the requisite 75% attendance will be awarded a Participation Certificate by IIM Kozhikode.

Kellogg Executive Education Certification Criteria: Participants must successfully complete all requirements of respective modules and must receive a passing score of 80% to obtain the certificate of completion by Kellogg Executive Education for the online course.

No, this AI officer programme doesn’t include alumni status.

Upon successful completion of modules by IIM Kozhikode, you will receive a digital completion certificate by IIM Kozhikode.

Upon successful completion of this AI officer course of Kellogg Executive Education, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the programme, once grading is complete.

For the modules by IIM Kozhikode, access to the online learning platform and all the videos and programme materials will be available for the programme duration only. Access to the learning platform is restricted to registered participants as per the terms of agreement.